Expected Parrot's universal remote cache hits 30M entries to fix AI-agent reproducibility
soumitrashukla9 · x · 2026-09-12
A researcher asked whether the field has established norms for reproducibility when key inputs are delegated to AI agents. John Horton responded that this is exactly why Expected Parrot built a universal remote cache, now holding nearly 30 million entries.
How it works: when surveys/experiments run remotely on Expected Parrot's servers, every prompt and model response is automatically stored in a shared cache; re-running identical prompts hits the cache for free and instant results, locking in outputs against model drift. The approach offers an engineering answer to the emerging reproducibility problem of agent-mediated empirical research.
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